ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2015
Spatiotemporal Coding of Individual Chemicals by the Gustatory System.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- The lepidopteran analyst: how caterpillars, moths and butterflies encode taste identity and valence.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026Review
- Feeding decision-making by a single neuron via disparate neurotransmitters.Nature communications · 2026Article
- Connectomic analysis of taste circuits in Drosophila.Scientific reports · 2025Article
- Review
- Survey of temporal coding of sensory information.Frontiers in computational neuroscience · 2025Article
- Connectomic analysis of taste circuits inbioRxiv : the preprint server for biology · 2024Article
- Mouthparts of the bumblebee (eLife · 2023Article
- Gustation in insects: taste qualities and types of evidence used to show taste function of specific body parts.Journal of insect science (Online) · 2023Article
- Complex representation of taste quality by second-order gustatory neurons in Drosophila.Current biology : CB · 2022Article
- Article
- Temporal responses of bumblebee gustatory neurons to sugars.iScience · 2022Article
- Taste sensing and sugar detection mechanisms ineLife · 2021Article
- Variation in the geneAmerican journal of physiology. Regulatory, integrative and comparative physiology · 2021Article
- Identification of a gustatory receptor tuned to sinigrin in the cabbage butterfly Pieris rapae.PLoS genetics · 2021Article
- A biomimetic neural encoder for spiking neural network.Nature communications · 2021Article
- Fuelling on the wing: sensory ecology of hawkmoth foraging.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2019Review
- Article
- Odor-evoked inhibition of olfactory sensory neurons drives olfactory perception in Drosophila.Nature communications · 2017Article
- A subset of sweet-sensing neurons identified by IR56d are necessary and sufficient for fatty acid taste.PLoS genetics · 2017Article
- New Methods to Study Gustatory Coding.Journal of visualized experiments : JoVE · 2017Article
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4 authors.
Funding
Abstract
Four of the five major sensory systems (vision, olfaction, somatosensation, and audition) are thought to use different but partially overlapping sets of neurons to form unique representations of vast numbers of stimuli. The only exception is gustation, which is thought to represent only small numbers of basic taste categories. However, using new methods for delivering tastant chemicals and making electrophysiological recordings from the tractable gustatory system of the moth Manduca sexta, we found chemical-specific information is as follows: (1) initially encoded in the population of gustatory receptor neurons as broadly distributed spatiotemporal patterns of activity; (2) dramatically integrated and temporally transformed as it propagates to monosynaptically connected second-order neurons; and (3) observed in tastant-specific behavior. Our results are consistent with an emerging view of the gustatory system: rather than constructing basic taste categories, it uses a spatiotemporal population code to generate unique neural representations of individual tastant chemicals. SIGNIFICANCE STATEMENT: Our results provide a new view of taste processing. Using a new, relatively simple model system and a new set of techniques to deliver taste stimuli and to examine gustatory receptor neurons and their immediate followers, we found no evidence for labeled line connectivity, or basic taste categories such as sweet, salty, bitter, and sour. Rather, individual tastant chemicals are represented as patterns of spiking activity distributed across populations of receptor neurons. These representations are transformed substantially as multiple types of receptor neurons converge upon follower neurons, leading to a combinatorial coding format that uniquely, rapidly, and efficiently represents individual taste chemicals. Finally, we found that the information content of these neurons can drive tastant-specific behavior.
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